Wikipedia link race: choosing among thousands of options
The model chooses the next step from hundreds or thousands of links, demonstrating fast decisions with constrained outputs. The post includes a 4:04 video.
Indexing the Katagami Art Style Library with Jev for MCP Interaction
The author used Jev to index the entire Katagami library of art styles and design languages, enabling interactive and intelligent queries for humans and agents via MCP, with trait parsing and fit scoring in about 1 second.
I used Jev to index the entire Katagami library of art styles and design languages, and make the experience for both humans and agents (via MCP) interactive and intelligent - you ask, Jev reads your ask into traits and scores candidates for fit (~1s). This was not possible with
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